Surgical Robot Testing Using Replayed Surgery Data
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Solution Overview
Problem
Traditional surgical robot testing methods relying on simulators or manually created scenarios fail to accurately reflect the complexity and emergencies of actual surgical processes, leading to suboptimal operational accuracy and reduced surgical efficiency and effectiveness.
Innovation Solution
A data-driven testing method that reproduces the surgical process from actual operation data, simulating a realistic environment to test the surgical robot's ability to handle complex and emergency situations, including various test instructions for motion control, reliability, follow-up, enabling, pedal function, buzzer operation, and comprehensive module testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional simulators or manually created test scenarios are used for surgical robot testing, then the testing process is simple to implement, but the testing accuracy and realism fail to reflect the complexity and emergencies of actual surgical processes
Solution Approach 1:
The patent creates a digital twin of the surgical robot system by copying the actual surgical process data and reconstructing it in a virtual testing environment. This allows realistic testing scenarios to be generated from actual surgical records, improving testing accuracy while avoiding the need for complex physical test setups. The digital copying approach maintains fidelity to real surgical conditions without proportionally increasing physical device complexity.
Solution Approach 2:
The patent introduces a data processing and simulation platform as an intermediary between actual surgical operations and the testing system. This intermediary layer processes real surgical data, extracts key parameters, and transforms them into standardized test scenarios, thereby bridging the gap between simple manual testing and complex real-world surgical conditions without requiring direct complexity in the testing hardware.
2Productivity
If traditional manual testing methods are used, then the testing setup is simple, but the surgical efficiency and effectiveness cannot meet expected requirements due to inability to handle complex and emergency situations
Solution Approach 1:
The patent implements comprehensive testing of the surgical robot in various complex and emergency scenarios before actual surgical deployment. By using real surgical process data to create predictive test scenarios, the system identifies and resolves potential operational issues in advance, ensuring the robot is thoroughly validated for handling complex situations before encountering them in real surgery, thereby improving both reliability and efficiency.
Solution Approach 2:
The patent establishes a feedback loop where actual surgical process data is continuously collected, analyzed, and used to refine testing scenarios and robot performance. This feedback mechanism allows the testing system to adapt to emerging complex situations and emergency scenarios encountered in real surgery, continuously improving the robot's reliability and surgical efficiency through iterative optimization based on real-world performance data.
Data Source
AI summary
A surgical robot testing method, device and apparatus and a storage medium are provided herein, the method including: acquiring various surgical operation data collected by a surgical robot in performing an actual surgery; simulating a reproduced surgery performing process in a simulation environment based on the various surgical operation data; in response to a test instruction for the surgical robot during the reproduced surgery performing process, acquiring a test result corresponding to the test instruction. The present disclosure can ensure that the testing environment is more similar to real operation scenarios by using the reproduced surgery performing process as simulated, meanwhile, testing of the surgical robot in the reproduced surgery performing process is more targeted, thereby significantly improving the surgical efficiency and effectiveness of the surgical robot in use.